This paper aims to illustrate how social sciences, sociology in particular, have theorized on societal transitions. The first section introduces some preliminary definitions. The assumption is that a societal transition is more than a social, economic or technological change. It is a large-scale and long-term macro process through which a given social system radically changes its structural basis, in terms of new socio-technical practices, governance rules, social and economic institutions, cultural frames, and patterns of social life. The second section provides an excursus on social science accounts on transitions. In particular, the attention has been given to Norbert Elias' famous study on the rise and fall of the court society in France, between 17th and 18th century and to Manuel Castells' recent analysis of the emergence of the network society. The third section discusses problems and challenges of standard approaches and suggests some building blocks of societal transition models, taken from complexity and social simulation literature. The concluding section suggests some way-forward measures towards a computational social science approach to societal transitions.

Flaminio Squazzoni

Computational and Mathematical Organization Theory

计算和数学组织理论为结合计算、组织和社会的跨学科研究提供了一个国际论坛。目标是利用社交网络、人工智能、复杂性、机器学习、社会学、商业、政治学、经济学和行动调查。该期刊上的论文将导致发展解释和预测复杂自适应系统行为的新理论，对社会、商业、政策和法律负责的新计算模型和技术，整合数据的新方法、计算模型、分析和可视化技术。欢迎各种类型的论文和基础研究。强烈鼓励展示、验证或应用模型和/或计算技术、新算法、网络和复杂系统的动态度量的论文以及比较、对比和对接计算模型的论文。强烈鼓励应用和理论工作。编辑鼓励对社会行为的基本原则进行理论研究，如协调、合作、进化和不稳定。编辑们鼓励应用研究代表可以使用计算工具解决的实际组织或政策问题。欢迎与基本概念、企业、军事或情报问题相关的工作。

The journal "Computational and Mathematical Organization Theory" provides an international forum for interdisciplinary research that integrates computation, organization, and society. The aim is to leverage insights from social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and action research. Papers published in this journal will contribute to the development of new theories that explain and predict the behavior of complex adaptive systems, as well as new computational models and techniques that are accountable to society, business, policy, and law. The journal welcomes various types of foundational research. We strongly encourage submissions that demonstrate, validate, or apply models and computational techniques, particularly new algorithms, dynamic metrics of networks and complex systems, and comparative studies of computational models. Both applied and theoretical work are encouraged. The editors invite theoretical research on fundamental principles of social behavior, such as coordination, cooperation, evolution, and instability. Additionally, the editors support applied research that addresses practical organizational or policy issues that can be solved using computational tools. Work related to fundamental concepts, business, military, or intelligence issues is also welcome.

《Computational and Mathematical Organization Theory》期刊为结合计算、组织和社会的跨学科研究提供了一个国际论坛。期刊旨在利用社交网络、人工智能、复杂性、机器学习、社会学、商业、政治学、经济学和行动调查等领域的研究成果。期刊上发表的论文将推动新理论的发展，以解释和预测复杂自适应系统的行为，并提出对社会、商业、政策和法律负责的新计算模型和技术。同时，期刊也欢迎各种类型的基础研究。我们强烈鼓励展示、验证或应用模型和计算技术的论文，尤其是新算法、网络和复杂系统的动态度量，以及比较、对比和对接计算模型的研究。应用和理论研究同样受到鼓励。编辑们鼓励对社会行为的基本原则进行理论探讨，如协调、合作、进化和不稳定等。此外，编辑们也支持应用研究，特别是那些可以利用计算工具解决实际组织或政策问题的研究。与基本概念、企业、军事或情报问题相关的工作也受到欢迎。

A (computational) social science perspective on societal transitions

This paper aims to illustrate how social sciences, sociology in particular, have theorized on societal transitions by providing an excursus on social science accounts on transitions and suggesting some way-forward measures towards a computational social science approach to societal transitions.

Category	Quartile
管理学	4
管理学, 计算机跨学科应用	4
管理学, 数学跨学科应用	4
管理学, 社会科学数理方法	4

A (computational) social science perspective on societal transitions

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Category	Quartile
SOCIAL SCIENCES, MATHEMATICAL METHODS	2